2026-07-19

The Woman Who Built ChatGPT Just Shipped a Model She Admits Isn't the Strongest — and Investors Are About to Value Her at $50 Billion

Start by putting two things side by side.

Yesterday, China’s Kimi K3 was all over the timelines, and the press-kit keywords were “the world’s largest open-source model,” “topping the coding charts,” “beating GPT and Claude” — everyone was comparing whose scores were higher.

Today, another model shipped, and its wording ran the other way. On July 16, Mira Murati’s Thinking Machines dropped its first open-source model, Inkling — 975B parameters, natively multimodal, with thinking effort you can dial from 0.2 up to 0.99. But in the official release notes, one line stands out sharply: “not the strongest overall model available today, open or closed.”

A company releasing its flagship model and voluntarily telling you “it isn’t the strongest.” In an industry that today would happily print every benchmark win onto a poster, that’s practically heresy.

Stranger still: this very company, just a year and a half old, is raising a new round at roughly a $50 billion valuation — more than four times its $12 billion last July.

Why is someone who shipped a model that isn’t the strongest worth $50 billion? To make sense of that, you first have to know who Mira Murati actually is.

Plenty of people can train models; almost no one can turn a model into a product

Mira Murati spent six and a half years at OpenAI, rising all the way to CTO. But her real weight isn’t in those three letters.

She was the key operator who took ChatGPT, DALL·E, and GPT-4 from the lab to the public. In late 2022, OpenAI had a powerful model that ordinary people couldn’t touch; it was her layer that wrapped it into a chat box anyone could open and use — and then ChatGPT became the fastest-adopted consumer product in human history, a hundred million users in two months. During those days in November 2023 when the board abruptly ousted Altman, the person who stepped in as interim CEO was also her.

Put differently: Silicon Valley has no shortage of people who can train models, but the people who can turn a model into a product a billion people want to open every day are a tiny handful. And on that very short list, Mira Murati’s name sits near the top. That’s the key to understanding her — and to understanding the $50 billion valuation.

That “not the strongest” line in Inkling is exactly what exposes her playbook

Back to that unusual release. Someone who understands better than anyone that “a model is not a product” shipped a model that doesn’t chase the top spot — that’s a strategy someone thought all the way through.

Look at what Inkling leads with and it’s clear: native multimodal reasoning (designed for real-time human-machine interaction, not retrofitted from a pure-text model), adjustable thinking effort (get the same job done with fewer tokens), and fine-tuning that works out of the box on its own Tinker platform. It even released a 276B smaller version, Inkling-Small, that matches the big model on several benchmarks at far lower cost.

Not one of these selling points is “I rank first on some chart.” They all point at the same thing: can you actually put it to use, wire it in smoothly, and conveniently take it away to build your own thing. This is the hardest lesson Mira Murati took from ChatGPT — what decides whether an AI product lives or dies is rarely where it ranks in the evals, and much more often whether anyone can hold it in their hands and turn it into something others want to use.

Yesterday’s Kimi K3 and today’s Inkling stand at exactly the two ends of this. One makes “topping the charts” the headline; the other writes “I’m not the strongest” into the release. Two philosophies — it’s too early to say who’s right — but which side Mira Murati is betting on is already down on paper.

The $50 billion is a bet on her, the person

Look again at that valuation curve and it gets even clearer what the market is pricing.

Thinking Machines was founded only in February 2025, and by July that year it closed a $2 billion seed round — led by a16z, with NVIDIA, AMD, Cisco, and Jane Street joining, at a $12 billion valuation. That was already one of the largest seed rounds ever. Today it’s raising at $50 billion, a fourfold jump in a year, muscling straight into the ranks of the world’s most valuable private companies. Leaving OpenAI alongside her were co-founder John Schulman, former VP of research Barret Zoph, and that whole core crew.

Investors aren’t fools. They know Inkling isn’t the strongest model right now, and they know this company hasn’t yet built a breakout product like ChatGPT. Betting at $50 billion, what they’re wagering on is Mira Murati the person — that kind of judgment for “turning research into a product a billion people use.” She cashed that ability in once before; now they’re betting she can cash it in again.

As models become more of a commodity, judgment is the scarce thing

The real signal here is bigger than “another star startup.”

Look at what’s happened these past six months: Kimi gave away a 2.8-trillion-parameter model for free, open-source flagships are everywhere, and the raw capability of models is getting cheaper and more readily available at a pace you can watch with the naked eye. When capability itself becomes as commoditized as water and electricity, a brutal question surfaces: if everyone can download the strongest model, then what is actually worth anything anymore?

Mira Murati’s $50 billion valuation is one answer the market is giving: people who can train models are no longer scarce; people who can judge “what is good, which direction to push, and how to package a capability into a product people want to use” — those are scarce. The former can be stacked up out of open source and compute; the latter can’t. She’s worth it because she knows what a good product is, not because she can build the strongest model.

This $50 billion bet has only just begun

That said, Inkling really isn’t the strongest model right now, and Thinking Machines hasn’t yet proven it can pull off a ChatGPT-scale miracle a second time. This $50 billion bet is nowhere near being settled.

But one thing has already been written into this release: in an era where models look more and more like a commodity, someone who understands better than anyone that “scores are not a product” shipped a model that doesn’t chase scores — and then landed the most expensive vote of confidence in the whole industry. Whether Inkling is the strongest doesn’t matter; what matters is that the thing she’s betting on — judgment is worth more than capability — is being voted for by more and more money.